US7945352B2 - Generalized predictive control (GPC) based position control method for an axle - Google Patents

Generalized predictive control (GPC) based position control method for an axle Download PDF

Info

Publication number
US7945352B2
US7945352B2 US12/227,469 US22746907A US7945352B2 US 7945352 B2 US7945352 B2 US 7945352B2 US 22746907 A US22746907 A US 22746907A US 7945352 B2 US7945352 B2 US 7945352B2
Authority
US
United States
Prior art keywords
value
controller
position controller
setpoint
values
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related, expires
Application number
US12/227,469
Other versions
US20090143921A1 (en
Inventor
Hakan Koc
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Original Assignee
Siemens AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens AG filed Critical Siemens AG
Assigned to SIEMENS AKTIENGESELLSCHAFT reassignment SIEMENS AKTIENGESELLSCHAFT ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: KOC, HAKAN
Publication of US20090143921A1 publication Critical patent/US20090143921A1/en
Application granted granted Critical
Publication of US7945352B2 publication Critical patent/US7945352B2/en
Expired - Fee Related legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/048Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/42Servomotor, servo controller kind till VSS
    • G05B2219/42058General predictive controller GPC

Definitions

  • the present invention relates to a position control method for an axle.
  • the present invention also relates to a position controller, which is configured in such a manner that it executes such a position control method during operation.
  • the present invention relates to a data medium with a controller program stored on the data medium to implement such a position control method.
  • Position control methods for an axle are generally known. Generally an instantaneous actual position value and an instantaneous setpoint position value are predefined for the position controller.
  • the position controller determines an instantaneous manipulated variable according to a predetermined controller characteristic and actuates the axle according to the instantaneous manipulated variable.
  • the controller characteristic can for example be a P, PI or PID controller characteristic.
  • Further control circuits (for example a speed controller and/or a current regulator) can in some instances be subordinate to the position controller.
  • a speed controller can be subordinated to the position controller, to determine a speed pre-control value based on the temporal derivation of the setpoint position value (in other words the difference in relation to the temporally preceding setpoint position value, divided by the position controller cycle) and to apply the speed pre-control value additively to the manipulated variable of the position controller.
  • This approach results in a smaller control deviation only in the case of essentially regular changes to the setpoint position value. It is also necessary to filter the instantaneous setpoint value supplied to the position controller. Otherwise there is a risk of controller instability.
  • a current regulator can be subordinated to the speed controller in addition to the speed pre-controller, to determine a current pre-control value for the current regulator based on the second temporal derivation of the setpoint position value and to apply the current pre-control value additively to the manipulated variable of the speed controller.
  • This approach results in small control differences even in the case of irregularly changing setpoint position values.
  • the controller responds to manipulated variables in a very sensitive manner and tends toward instability.
  • GPC generalized predictive control
  • the controller uses a model of the unit to be controlled to determine an instantaneous manipulated variable and actuates the unit to be controlled according to the instantaneous manipulated variable.
  • the manipulated variable is determined in such a manner that an overall deviation of the instantaneous and future actual values from the corresponding setpoint values is optimized according to a predetermined evaluation function.
  • a position control method for an axle is known from FR 2 689 260 A, having the following features:
  • An object of the present invention is to embody a position control method of the last-mentioned type in such a manner that it can be realized in a simple manner for a following axle (in other words an axle, whose setpoint position values are determined based on the setpoint and/or actual position values of a leading axle).
  • the object is achieved in respect of a method by a position control method according to the independent claim.
  • the setpoint position values themselves are not supplied to the position controller but an instantaneous reference value is predefined for the position controller in addition to the instantaneous actual position value.
  • a reference value change and a temporal offset between respectively immediately successive reference values are also predefined for the position controller.
  • the position controller uses the instantaneous reference value, the reference value change and the temporal offset to determine the future reference values. It then uses the reference values to determine the corresponding setpoint position values.
  • a functional relationship between the reference values and the setpoint position values must be known to the position controller. It is possible for the functional relationship to be periodic. In this instance the position controller realizes a disk cam functionality.
  • a position controller which is configured in such a manner that it executes such a position control method during operation.
  • the position controller can be integrated in an ASIC.
  • the position controller can realize the inventive position control method in the form of a software solution or in the form of a hardware solution. Both solutions are possible regardless of whether or not the position controller is integrated in an ASIC.
  • the position controller realizes the inventive position control method in the form of a hardware solution, its circuits are configured in such a manner that it can execute such a position control method.
  • the position controller realizes the inventive position control method in the form of a software solution, it has a program memory and a work facility connected to the program memory.
  • a controller program is stored in the program memory and can be executed by the work facility.
  • the work facility executes an inventive position control method.
  • the object is also achieved with regard to the program by a data medium with a controller program stored on the data medium, the controller program causing the position controller to execute the inventive position control method, when the controller program is stored in the program memory of the position controller and executed by the work facility of the position controller.
  • FIG. 1 shows a position controller
  • FIGS. 2 to 7 show variants of the position controller in FIG. 1 and
  • FIG. 8 shows a further variant of the position controller in FIG. 1 .
  • An instantaneous actual position value x(0) is predefined for the position controller 1 .
  • the actual position value x(0) can be captured for example by means of a position sensor 3 and supplied to the position controller 1 .
  • An instantaneous setpoint position value x*(0) is also predefined for the position controller 1 .
  • the number n of future setpoint position values x*(ti) is minimum 1. It is generally greater than 1. This is indicated in FIG. 1 in that a broad arrow is used for the future setpoint position values x*(ti), because it can be a vectorial variable. In contrast simple arrows are used in FIG. 1 for the instantaneous setpoint position value x*(0) and the instantaneous actual position value x(0), because these are scalar variables.
  • the execution times ti correspond to the time difference between the instantaneous setpoint position value x*(0) and the respective future setpoint position value x*(ti).
  • the temporal offsets ⁇ ti can generally be predefined individually. Their number n corresponds in this instance to the number n of future setpoint position values x*(ti). For this reason a broad arrow is also used in FIG. 1 for the supply of the temporal offsets ⁇ ti and/or the execution times ti.
  • the position controller 1 receives the instantaneous actual position value x(0), the instantaneous setpoint position value x*(0), the future setpoint position values x*(ti) and the temporal offsets ⁇ ti and/or the execution times ti with a work cycle T. It outputs an instantaneous manipulated variable S(0) to the axle 2 with the same work cycle T. It therefore actuates the axle 2 according to the instantaneous manipulated variable S(0).
  • Actuation of the axle 2 can take place immediately.
  • Subordinate controllers are preferably arranged between the position controller 1 and the axle 2 , for example a speed controller and/or a current regulator.
  • the work cycle T can be more than one millisecond, for example between one and 20 milliseconds. If the axle is highly dynamic, it can be below one millisecond, for example around 20 ⁇ s to one millisecond, in particular between 50 and 300 ⁇ s. A particularly preferred work cycle T is around 125 ⁇ s.
  • the position controller 1 has an input-side buffer element 4 to receive the instantaneous actual position value x(0), the instantaneous setpoint position value x*(0), the future setpoint position values x*(ti) and the temporal offsets ⁇ ti and/or the execution times ti. It also has an output-side buffer element 5 to output the instantaneous manipulated variable S(0).
  • the buffer elements 4 , 5 can be configured for example as sample and hold elements. Other realizations are also possible.
  • the position controller 1 has an internal model 6 of the axle 2 .
  • the model 6 has a manipulated variable determination unit 7 and an actual value determination unit 8 .
  • the variables x(0), x*(0), x*(ti) and ⁇ ti buffered in the input-side buffer element 4 are supplied to the manipulated variable determination unit 7 .
  • the manipulated variable determination unit 7 outputs the manipulated variables S(0), S(ti) to the actual value determination unit 8 .
  • the deviation determination unit 9 determines an overall deviation G of the instantaneous and expected actual position values x(0), x(ti) from the corresponding setpoint position values x*(0), x*(ti) according to a predetermined evaluation function. It supplies the overall deviation G to an optimizer 10 .
  • the deviation determination unit 9 can supply a deviation change ⁇ G (in other words the difference between the overall deviation G now determined and an overall deviation G determined in the immediately preceding iteration) to the optimizer 10 in addition to the overall deviation G.
  • the optimizer 10 checks whether and in some instances how the manipulated variables S(0), S(ti) should be varied. In particular if the total of the overall deviation (G) is more than a predefined deviation limit and/or the total deviation change ⁇ G is more than a predefined change limit, the optimizer 10 varies the manipulated variables S(0), S(ti) to minimize the overall deviation G. Otherwise it is assumed that the manipulated variables S(0), S(ti) can no longer be optimized further. The optimizer then outputs an enable signal F for example to the manipulated variable determination unit 7 . On receipt of the enable signal F, the manipulated variable determination unit 7 outputs the last determined instantaneous manipulated variable S(0) to the output-side buffer element 5 .
  • the position controller 1 determines the manipulated variables S(0), S(ti) and the expected actual position values x(ti) in such a manner that the overall deviation G is minimized or more generally optimized.
  • FIGS. 2 to 5 show variations of the basic principle described above in conjunction with FIG. 1 . Only differences compared with FIG. 1 are examined in more detail below in conjunction with FIGS. 2 to 5 . The other details relating to FIG. 1 remain applicable.
  • the temporal offset ⁇ ti is identical for all future setpoint position values x*(ti). It can therefore be redefined for the position controller 1 as an individual scalar value ⁇ t (hereafter referred to as the basic temporal offset ⁇ t). If the basic temporal offset ⁇ t is already known to the position controller 1 , it is even possible to dispense with the specific supplying of the basic temporal offset ⁇ t to the position controller 1 .
  • the temporal offset ⁇ ti is a whole-number multiple Ni of the work cycle T for every future setpoint position value x*(ti).
  • the corresponding whole-number multiples Ni can be predefined for the position controller 1 .
  • the position controller 1 automatically uses the whole-number multiples Ni and the work cycle T to determine the respective temporal offset ⁇ ti.
  • FIG. 4 combines the procedures in FIGS. 2 and 3 . It is then possible to predefine just an individual whole-number value N (hereafter referred to as basic value N) for the position controller 1 instead of the basic temporal offset ⁇ t. If the basic value N is already known to the position controller 1 , it is not necessary to supply it to the position controller 1 .
  • FIG. 6 is an extension of the embodiment in FIG. 1 .
  • the position controller 1 has a setpoint value determination unit 11 on the input side.
  • the setpoint value determination unit 11 is likewise timed with the work cycle T.
  • An instantaneous reference value X(0) and a number of future reference values (X(ti) are supplied to the setpoint value determination unit 11 .
  • the setpoint value determination unit 11 uses a predetermined functional relationship for each reference value X(0), X(ti) to determine a corresponding setpoint position value x*(0), x*(ti) and outputs it to the input-side buffer element 4 .
  • the other details relating to FIG. 1 remain valid.
  • the functional relationship of the setpoint position values x*(0), x*(ti) to the reference values X(0), X(ti) must be known to the setpoint value determination unit 11 . It can alternatively be permanently predefined for (or programmed into) or parameterizable for the setpoint value determination unit 11 .
  • the embodiment according to FIG. 6 can not only be used in conjunction with the embodiment according to FIG. 1 . As an alternative it can be combined with the embodiments according to FIGS. 2 to 4 . A combination with the embodiment according to FIG. 5 is also possible. In this instance only the temporally last future reference value X(nT) has to be supplied to the setpoint value determination unit 11 . The setpoint value determination unit 11 only has to use the temporally last future reference value X(nT) to determine the temporally last future setpoint position value x*(nT).
  • FIG. 7 also shows a modification of the embodiment in FIG. 6 .
  • the instantaneous reference value X(0), a reference value change ⁇ X and a number n of temporal offsets ⁇ ti are predefined for the setpoint value determination unit 11 .
  • the temporal offsets ⁇ ti can alternatively be predefined explicitly for the setpoint value determination unit 11 or can be predefined implicitly as in FIGS. 2 to 5 —for example by the work cycle T.
  • the setpoint value determination unit 11 uses the respective reference value X(0), X(ti) to determine the corresponding setpoint position value x*(0), x*(ti).
  • the reference value change ⁇ X it is possible for the reference value change ⁇ X to be temporally constant, in other words not to be variable. It is then possible but not essential to predefine the reference value change ⁇ ti explicitly for the setpoint value determination unit 11 . It can also be set internally.
  • the circuits of the position controller 1 are configured in such a manner that it executes one of the position control methods described above.
  • This embodiment is possible but not essential.
  • the position controller 1 it is possible according to FIG. 8 for the position controller 1 to have a program memory 12 and a work facility 13 .
  • a controller program 14 is then stored in the program memory 12 .
  • the work facility 13 is connected to the program memory 12 . It can execute the controller program 14 .
  • the work facility 13 processes the controller program 14 , it executes one of the inventive position control methods described above.
  • the work facility 13 is generally configured as a microprocessor or a microcontroller.
  • the elements 4 to 10 (or 11 ) in FIGS. 1 to 7 are realized as software blocks in the embodiment in FIG. 8 .
  • a suitable programming facility 15 can be coupled to the program memory 12 to store the controller program 14 in the program memory 12 .
  • the programming facility 15 has a data medium 16 , in which the controller program 14 is stored.
  • the data medium 16 can be a hard disk or a removable data medium (USB stick, CD-ROM, etc.) for example.
  • the position controller 1 can be made up of discrete structural elements. However the position controller is preferably integrated in an ASIC 17 .
  • the position control method and the position controller 1 can be used in a simple manner to achieve considerably more efficient position control of the axle 2 than with the prior art.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)
  • Control Of Position Or Direction (AREA)

Abstract

A position value, a desired position value and future desired position values as well as, for each future desired position value, a value which is characteristic of the temporal offset between said future desired position value and the respective immediately preceding desired position value are predefined for a position controller for an axle. The position controller uses a model of the axle to determine a manipulated variable and a respective expected manipulated variable and an expected position value for the future desired position values. The position controller determines the manipulated variable, the expected variables and the expected position values in such a manner that a total deviation of the position value and the expected position values from the corresponding desired position values is optimized in accordance with a predetermined assessment function. It drives the axle in accordance with the manipulated variable.

Description

CROSS REFERENCE TO RELATED APPLICATIONS
This application is the US National Stage of International Application No. PCT/EP2007/052566 filed Mar. 19, 2007, and claims the benefit thereof. The International Application claims the benefits of German application No. 10 2006 023 458.8 DE filed May 18, 2006. Both of the applications are incorporated by reference herein in their entirety.
FIELD OF INVENTION
The present invention relates to a position control method for an axle.
The present invention also relates to a position controller, which is configured in such a manner that it executes such a position control method during operation.
Finally the present invention relates to a data medium with a controller program stored on the data medium to implement such a position control method.
BACKGROUND OF INVENTION
Position control methods for an axle are generally known. Generally an instantaneous actual position value and an instantaneous setpoint position value are predefined for the position controller. The position controller determines an instantaneous manipulated variable according to a predetermined controller characteristic and actuates the axle according to the instantaneous manipulated variable. The controller characteristic can for example be a P, PI or PID controller characteristic. Further control circuits (for example a speed controller and/or a current regulator) can in some instances be subordinate to the position controller.
The procedure in the prior art produces satisfactory results in a plurality of applications. For some applications, where a high level of accuracy and rapid correction of control differences (i.e. the difference between the actual value and the setpoint value) are required, additional measures are however necessary.
It is thus known for example in the prior art that a speed controller can be subordinated to the position controller, to determine a speed pre-control value based on the temporal derivation of the setpoint position value (in other words the difference in relation to the temporally preceding setpoint position value, divided by the position controller cycle) and to apply the speed pre-control value additively to the manipulated variable of the position controller. This approach results in a smaller control deviation only in the case of essentially regular changes to the setpoint position value. It is also necessary to filter the instantaneous setpoint value supplied to the position controller. Otherwise there is a risk of controller instability.
In the prior art it is also known that a current regulator can be subordinated to the speed controller in addition to the speed pre-controller, to determine a current pre-control value for the current regulator based on the second temporal derivation of the setpoint position value and to apply the current pre-control value additively to the manipulated variable of the speed controller. This approach results in small control differences even in the case of irregularly changing setpoint position values. However the controller responds to manipulated variables in a very sensitive manner and tends toward instability.
In the field of large industrial units (for example for continuous casting plants and rolling mills) it is known that a so-called generalized predictive control (GPC) can be implemented. With such a type of control a number of future setpoint values are supplied to the controller in addition to the instantaneous actual value and the instantaneous setpoint value. The controller uses a model of the unit to be controlled to determine an instantaneous manipulated variable and actuates the unit to be controlled according to the instantaneous manipulated variable. The manipulated variable is determined in such a manner that an overall deviation of the instantaneous and future actual values from the corresponding setpoint values is optimized according to a predetermined evaluation function. For the last-mentioned type of control, see also for example the technical article “Generalized Predictive Control (GPC)—Ready for Use in Drive Applications?” by R. Kennel et al., University of Wuppertal and GB 2 402 499 A.
A similar disclosure content to that of the technical article by R. Kennel mentioned above is known from the technical article “Real-Time Application of Neural Model Predictive Control for an Induction Servo Drive” by D. Neumerkel et al., Control Applications, 1994/IEEE, vol. 1, Aug. 24, 1994, pages 433 to 438.
A position control method for an axle is known from FR 2 689 260 A, having the following features:
  • An instantaneous actual position value, an instantaneous setpoint position value and a number of future setpoint position values and for each future setpoint position value a value characteristic of its temporal offset in relation to the respectively immediately preceding setpoint position value are predefined for a position controller.
  • The position controller uses a model of the axle to determine an instantaneous manipulated variable and for the future setpoint position values an expected manipulated variable and an expected actual position value respectively.
  • The position controller determines the instantaneous manipulated variable, the expected manipulated variables and the expected actual position values in such a manner that an overall deviation of the instantaneous actual position value and the expected actual position values from the corresponding setpoint position values is optimized according to a predetermined evaluation function.
  • The position controller actuates the axle according to the instantaneous manipulated variable.
With the position control method known from FR 2 689 260 A it is possible to control the position of the axle with a good level of control accuracy while at the same time achieving a high level of control dynamics and yet low susceptibility to interference.
With the position control method known from FR 2 689 260 A the setpoint position values per se are supplied to the corresponding control facility.
SUMMARY OF INVENTION
An object of the present invention is to embody a position control method of the last-mentioned type in such a manner that it can be realized in a simple manner for a following axle (in other words an axle, whose setpoint position values are determined based on the setpoint and/or actual position values of a leading axle).
The object is achieved in respect of a method by a position control method according to the independent claim.
According to the invention the setpoint position values themselves are not supplied to the position controller but an instantaneous reference value is predefined for the position controller in addition to the instantaneous actual position value. A reference value change and a temporal offset between respectively immediately successive reference values are also predefined for the position controller. The position controller uses the instantaneous reference value, the reference value change and the temporal offset to determine the future reference values. It then uses the reference values to determine the corresponding setpoint position values. The further method steps follow in an identical manner to those in FR 2 689 260 A.
In order to be able to use the reference values to determine the setpoint position values, a functional relationship between the reference values and the setpoint position values must be known to the position controller. It is possible for the functional relationship to be periodic. In this instance the position controller realizes a disk cam functionality.
With regard to a device the object is achieved by a position controller, which is configured in such a manner that it executes such a position control method during operation. The position controller can be integrated in an ASIC.
The position controller can realize the inventive position control method in the form of a software solution or in the form of a hardware solution. Both solutions are possible regardless of whether or not the position controller is integrated in an ASIC.
If the position controller realizes the inventive position control method in the form of a hardware solution, its circuits are configured in such a manner that it can execute such a position control method.
If the position controller realizes the inventive position control method in the form of a software solution, it has a program memory and a work facility connected to the program memory. A controller program is stored in the program memory and can be executed by the work facility. During processing of the controller program, the work facility executes an inventive position control method.
In the case of a software solution the object is also achieved with regard to the program by a data medium with a controller program stored on the data medium, the controller program causing the position controller to execute the inventive position control method, when the controller program is stored in the program memory of the position controller and executed by the work facility of the position controller.
BRIEF DESCRIPTION OF THE DRAWINGS
Further advantages and details will emerge from the description which follows of exemplary embodiments in conjunction with the drawings, in which essentially:
FIG. 1 shows a position controller,
FIGS. 2 to 7 show variants of the position controller in FIG. 1 and
FIG. 8 shows a further variant of the position controller in FIG. 1.
DETAILED DESCRIPTION OF INVENTION
An instantaneous actual position value x(0) is predefined for the position controller 1. The actual position value x(0) can be captured for example by means of a position sensor 3 and supplied to the position controller 1. An instantaneous setpoint position value x*(0) is also predefined for the position controller 1.
A number n of future setpoint position values x*(ti) (i=1, . . . , n) is also predefined for the position controller 1.
The number n of future setpoint position values x*(ti) is minimum 1. It is generally greater than 1. This is indicated in FIG. 1 in that a broad arrow is used for the future setpoint position values x*(ti), because it can be a vectorial variable. In contrast simple arrows are used in FIG. 1 for the instantaneous setpoint position value x*(0) and the instantaneous actual position value x(0), because these are scalar variables.
Finally execution times ti (i=1, . . . , n) of the future setpoint position values x*(ti) and/or temporal offsets δti (i=1, . . . , n) of the future setpoint position values x*(ti) are predefined for the position controller 1. The execution times ti correspond to the time difference between the instantaneous setpoint position value x*(0) and the respective future setpoint position value x*(ti). The temporal offsets δti correspond to the time difference between the respective future setpoint position value x*(ti) and the respectively immediately preceding setpoint position value x*(0) and/or x*(ti) (i=1, . . . , n−1).
The temporal offsets δti can generally be predefined individually. Their number n corresponds in this instance to the number n of future setpoint position values x*(ti). For this reason a broad arrow is also used in FIG. 1 for the supply of the temporal offsets δti and/or the execution times ti.
The position controller 1 receives the instantaneous actual position value x(0), the instantaneous setpoint position value x*(0), the future setpoint position values x*(ti) and the temporal offsets δti and/or the execution times ti with a work cycle T. It outputs an instantaneous manipulated variable S(0) to the axle 2 with the same work cycle T. It therefore actuates the axle 2 according to the instantaneous manipulated variable S(0).
Actuation of the axle 2 can take place immediately. Subordinate controllers are preferably arranged between the position controller 1 and the axle 2, for example a speed controller and/or a current regulator.
The work cycle T can be more than one millisecond, for example between one and 20 milliseconds. If the axle is highly dynamic, it can be below one millisecond, for example around 20 μs to one millisecond, in particular between 50 and 300 μs. A particularly preferred work cycle T is around 125 μs.
According to FIG. 1 the position controller 1 has an input-side buffer element 4 to receive the instantaneous actual position value x(0), the instantaneous setpoint position value x*(0), the future setpoint position values x*(ti) and the temporal offsets δti and/or the execution times ti. It also has an output-side buffer element 5 to output the instantaneous manipulated variable S(0). The buffer elements 4, 5 can be configured for example as sample and hold elements. Other realizations are also possible.
The position controller 1 has an internal model 6 of the axle 2. The model 6 has a manipulated variable determination unit 7 and an actual value determination unit 8. The variables x(0), x*(0), x*(ti) and δti buffered in the input-side buffer element 4 are supplied to the manipulated variable determination unit 7. The manipulated variable determination unit 7 determines the instantaneous manipulated variable S(0) and an expected manipulated variable S(ti) respectively for the future setpoint position values x*(ti) (i=1, . . . , n−1 or i=1, . . . , n). The manipulated variable determination unit 7 outputs the manipulated variables S(0), S(ti) to the actual value determination unit 8.
The actual value determination unit 8 uses the manipulated variables S(0), S(ti) to determine an expected actual position value x(ti) respectively for the future setpoint position values x*(ti) (i=1, . . . , n) and outputs the expected actual position values x(ti) to a deviation determination unit 9. The deviation determination unit 9 determines an overall deviation G of the instantaneous and expected actual position values x(0), x(ti) from the corresponding setpoint position values x*(0), x*(ti) according to a predetermined evaluation function. It supplies the overall deviation G to an optimizer 10. In some instances the deviation determination unit 9 can supply a deviation change δG (in other words the difference between the overall deviation G now determined and an overall deviation G determined in the immediately preceding iteration) to the optimizer 10 in addition to the overall deviation G.
The optimizer 10 checks whether and in some instances how the manipulated variables S(0), S(ti) should be varied. In particular if the total of the overall deviation (G) is more than a predefined deviation limit and/or the total deviation change δG is more than a predefined change limit, the optimizer 10 varies the manipulated variables S(0), S(ti) to minimize the overall deviation G. Otherwise it is assumed that the manipulated variables S(0), S(ti) can no longer be optimized further. The optimizer then outputs an enable signal F for example to the manipulated variable determination unit 7. On receipt of the enable signal F, the manipulated variable determination unit 7 outputs the last determined instantaneous manipulated variable S(0) to the output-side buffer element 5.
It can be seen from the above that the position controller 1 determines the manipulated variables S(0), S(ti) and the expected actual position values x(ti) in such a manner that the overall deviation G is minimized or more generally optimized.
FIGS. 2 to 5 show variations of the basic principle described above in conjunction with FIG. 1. Only differences compared with FIG. 1 are examined in more detail below in conjunction with FIGS. 2 to 5. The other details relating to FIG. 1 remain applicable.
According to FIG. 2 the temporal offset δti is identical for all future setpoint position values x*(ti). It can therefore be redefined for the position controller 1 as an individual scalar value δt (hereafter referred to as the basic temporal offset δt). If the basic temporal offset δt is already known to the position controller 1, it is even possible to dispense with the specific supplying of the basic temporal offset δt to the position controller 1.
According to FIG. 3 the temporal offset δti is a whole-number multiple Ni of the work cycle T for every future setpoint position value x*(ti). Instead of the temporal offsets δti per se the corresponding whole-number multiples Ni can be predefined for the position controller 1. In this instance the position controller 1 automatically uses the whole-number multiples Ni and the work cycle T to determine the respective temporal offset δti.
FIG. 4 combines the procedures in FIGS. 2 and 3. It is then possible to predefine just an individual whole-number value N (hereafter referred to as basic value N) for the position controller 1 instead of the basic temporal offset δt. If the basic value N is already known to the position controller 1, it is not necessary to supply it to the position controller 1.
The basic value N can be different from one. Alternatively it can have the value one. It is then possible according to FIG. 5 only to supply the temporally last future setpoint position value x*(ti) respectively to the position controller 1 (where n=number of future setpoint position values), as in this instance the other future setpoint position values x*(ti) and the instantaneous setpoint position value x*(0) have already been supplied beforehand to the position controller 1. Only a timed shifting of the setpoint position values x*(0), x*(ti) stored in the input-side buffer element 4 is then necessary—similar to the mode of operation of a shift register.
It is always possible to supply the setpoint position values x*(0), x*(ti) per se to the position controller 1. In some instances it is alternatively possible for the position controller 1 to determine the setpoint position values x*(0), x*(ti) automatically. This is described in more detail below in conjunction with FIGS. 6 and 7.
FIG. 6 is an extension of the embodiment in FIG. 1. According to FIG. 6 the position controller 1 has a setpoint value determination unit 11 on the input side. The setpoint value determination unit 11 is likewise timed with the work cycle T.
An instantaneous reference value X(0) and a number of future reference values (X(ti) are supplied to the setpoint value determination unit 11. The setpoint value determination unit 11 uses a predetermined functional relationship for each reference value X(0), X(ti) to determine a corresponding setpoint position value x*(0), x*(ti) and outputs it to the input-side buffer element 4. The other details relating to FIG. 1 remain valid.
The functional relationship of the setpoint position values x*(0), x*(ti) to the reference values X(0), X(ti) must be known to the setpoint value determination unit 11. It can alternatively be permanently predefined for (or programmed into) or parameterizable for the setpoint value determination unit 11.
The embodiment according to FIG. 6 can not only be used in conjunction with the embodiment according to FIG. 1. As an alternative it can be combined with the embodiments according to FIGS. 2 to 4. A combination with the embodiment according to FIG. 5 is also possible. In this instance only the temporally last future reference value X(nT) has to be supplied to the setpoint value determination unit 11. The setpoint value determination unit 11 only has to use the temporally last future reference value X(nT) to determine the temporally last future setpoint position value x*(nT).
FIG. 7 also shows a modification of the embodiment in FIG. 6. According to FIG. 7 the instantaneous reference value X(0), a reference value change δX and a number n of temporal offsets δti are predefined for the setpoint value determination unit 11. The temporal offsets δti can alternatively be predefined explicitly for the setpoint value determination unit 11 or can be predefined implicitly as in FIGS. 2 to 5—for example by the work cycle T.
With the embodiment in FIG. 7 in a first step the setpoint value determination unit 11 uses the instantaneous reference value X(0) or the temporally immediately preceding reference value X(ti) (i=1, . . . , n−1) and the reference value change δX to determine the corresponding future reference value X(ti) (i=1, . . . , n) for the relevant temporal offset δti for each temporal offset δti. In a second step the setpoint value determination unit 11 uses the respective reference value X(0), X(ti) to determine the corresponding setpoint position value x*(0), x*(ti).
It is possible for the reference value change δX to be temporally constant, in other words not to be variable. It is then possible but not essential to predefine the reference value change δti explicitly for the setpoint value determination unit 11. It can also be set internally.
The procedure according to FIG. 7 can be combined not only with the embodiment in FIG. 1 but also with the embodiments according to FIGS. 2 to 5.
With the embodiments described above in conjunction with FIGS. 1 to 7 it has been assumed that the circuits of the position controller 1 are configured in such a manner that it executes one of the position control methods described above. This embodiment is possible but not essential. As an alternative to the circuit-based embodiment it is possible according to FIG. 8 for the position controller 1 to have a program memory 12 and a work facility 13. A controller program 14 is then stored in the program memory 12. The work facility 13 is connected to the program memory 12. It can execute the controller program 14. When the work facility 13 processes the controller program 14, it executes one of the inventive position control methods described above. The work facility 13 is generally configured as a microprocessor or a microcontroller. The elements 4 to 10 (or 11) in FIGS. 1 to 7 are realized as software blocks in the embodiment in FIG. 8.
A suitable programming facility 15 can be coupled to the program memory 12 to store the controller program 14 in the program memory 12. The programming facility 15 has a data medium 16, in which the controller program 14 is stored. The data medium 16 can be a hard disk or a removable data medium (USB stick, CD-ROM, etc.) for example.
Regardless of whether the position controller 1 (according to FIGS. 1 to 7) realizes the position control method in a circuit-based manner or whether the position control method (according to FIG. 8) is realized by corresponding programming, the position controller 1 can be made up of discrete structural elements. However the position controller is preferably integrated in an ASIC 17.
The position control method and the position controller 1 can be used in a simple manner to achieve considerably more efficient position control of the axle 2 than with the prior art.
The above description serves solely to describe the present invention. The scope of protection of the present invention should in contrast be determined by the accompanying claims.

Claims (5)

1. A position control method for an axle, comprising:
predefining a reference value and a position value for a position controller;
predefining a reference value change and a temporal offset between respectively immediately successive reference values for the position controller;
determining future reference values by the position controller, wherein the position controller uses the reference value, the reference value change and the temporal offset;
determining the corresponding setpoint position values by the position controller, wherein the position controller uses the reference values;
determining a manipulated variable and for a future setpoint position value an expected manipulated variable and an expected position value respectively by the position controller, wherein the position controller uses a model of the axle, and wherein an overall deviation of the position value and the expected position value from the corresponding setpoint position value is optimized according to a predetermined evaluation function; and
actuating the axle according to the manipulated variable by the position controller.
2. The position control method as claimed in claim 1, wherein the method is executed by a position controller.
3. The position control method as claimed in claim 2, wherein the position controller is integrated in an ASIC.
4. The position control method as claimed in claim 2, wherein the position controller has a program memory and a work device connected to the program memory, a controller program is stored in the program memory and the controller program is executed by the work device.
5. A computer readable medium storing a computer program, wherein the computer program is connected to a work device and executed by the work device, and during processing of the controller program the work device executes a position control method, comprising:
predefining a reference value and a position value for a position controller;
predefining a reference value change and a temporal offset between respectively immediately successive reference values for the position controller;
determining future reference values by the position controller, wherein the position controller uses the reference value, the reference value change and the temporal offset;
determining the corresponding setpoint position values by the position controller, wherein the position controller uses the reference values;
determining a manipulated variable and for a future setpoint position value an expected manipulated variable and an expected position value respectively by the position controller, wherein the position controller uses a model of the axle, and wherein an overall deviation of the position value and the expected position value from the corresponding setpoint position value is optimized according to a predetermined evaluation function; and
actuating the axle according to the manipulated variable by the position controller.
US12/227,469 2006-05-18 2007-03-19 Generalized predictive control (GPC) based position control method for an axle Expired - Fee Related US7945352B2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
DE102006023458 2006-05-18
DE102006023458.8 2006-05-18
DE102006023458A DE102006023458B4 (en) 2006-05-18 2006-05-18 Position control method for one axis
PCT/EP2007/052566 WO2007134893A1 (en) 2006-05-18 2007-03-19 Position control method for an axle

Publications (2)

Publication Number Publication Date
US20090143921A1 US20090143921A1 (en) 2009-06-04
US7945352B2 true US7945352B2 (en) 2011-05-17

Family

ID=38235352

Family Applications (1)

Application Number Title Priority Date Filing Date
US12/227,469 Expired - Fee Related US7945352B2 (en) 2006-05-18 2007-03-19 Generalized predictive control (GPC) based position control method for an axle

Country Status (4)

Country Link
US (1) US7945352B2 (en)
JP (1) JP5127824B2 (en)
DE (1) DE102006023458B4 (en)
WO (1) WO2007134893A1 (en)

Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9235657B1 (en) 2013-03-13 2016-01-12 Johnson Controls Technology Company System identification and model development
US9436179B1 (en) 2013-03-13 2016-09-06 Johnson Controls Technology Company Systems and methods for energy cost optimization in a building system
US9852481B1 (en) 2013-03-13 2017-12-26 Johnson Controls Technology Company Systems and methods for cascaded model predictive control
US10101731B2 (en) 2014-05-01 2018-10-16 Johnson Controls Technology Company Low level central plant optimization
US10186889B2 (en) 2015-10-08 2019-01-22 Taurus Des, Llc Electrical energy storage system with variable state-of-charge frequency response optimization
US10190793B2 (en) 2015-10-08 2019-01-29 Johnson Controls Technology Company Building management system with electrical energy storage optimization based on statistical estimates of IBDR event probabilities
US10190789B2 (en) 2015-09-30 2019-01-29 Johnson Controls Technology Company Central plant with coordinated HVAC equipment staging across multiple subplants
US10197632B2 (en) 2015-10-08 2019-02-05 Taurus Des, Llc Electrical energy storage system with battery power setpoint optimization using predicted values of a frequency regulation signal
US10222427B2 (en) 2015-10-08 2019-03-05 Con Edison Battery Storage, Llc Electrical energy storage system with battery power setpoint optimization based on battery degradation costs and expected frequency response revenue
US10250039B2 (en) 2015-10-08 2019-04-02 Con Edison Battery Storage, Llc Energy storage controller with battery life model
US10283968B2 (en) 2015-10-08 2019-05-07 Con Edison Battery Storage, Llc Power control system with power setpoint adjustment based on POI power limits
US10389136B2 (en) 2015-10-08 2019-08-20 Con Edison Battery Storage, Llc Photovoltaic energy system with value function optimization
US10418832B2 (en) 2015-10-08 2019-09-17 Con Edison Battery Storage, Llc Electrical energy storage system with constant state-of charge frequency response optimization
US10418833B2 (en) 2015-10-08 2019-09-17 Con Edison Battery Storage, Llc Electrical energy storage system with cascaded frequency response optimization
US10554170B2 (en) 2015-10-08 2020-02-04 Con Edison Battery Storage, Llc Photovoltaic energy system with solar intensity prediction
US10564610B2 (en) 2015-10-08 2020-02-18 Con Edison Battery Storage, Llc Photovoltaic energy system with preemptive ramp rate control
US10594153B2 (en) 2016-07-29 2020-03-17 Con Edison Battery Storage, Llc Frequency response optimization control system
US10700541B2 (en) 2015-10-08 2020-06-30 Con Edison Battery Storage, Llc Power control system with battery power setpoint optimization using one-step-ahead prediction
US10742055B2 (en) 2015-10-08 2020-08-11 Con Edison Battery Storage, Llc Renewable energy system with simultaneous ramp rate control and frequency regulation
US10778012B2 (en) 2016-07-29 2020-09-15 Con Edison Battery Storage, Llc Battery optimization control system with data fusion systems and methods
US10838441B2 (en) 2017-11-28 2020-11-17 Johnson Controls Technology Company Multistage HVAC system with modulating device demand control
US10838440B2 (en) 2017-11-28 2020-11-17 Johnson Controls Technology Company Multistage HVAC system with discrete device selection prioritization
US11159022B2 (en) 2018-08-28 2021-10-26 Johnson Controls Tyco IP Holdings LLP Building energy optimization system with a dynamically trained load prediction model
US11163271B2 (en) 2018-08-28 2021-11-02 Johnson Controls Technology Company Cloud based building energy optimization system with a dynamically trained load prediction model
US11210617B2 (en) 2015-10-08 2021-12-28 Johnson Controls Technology Company Building management system with electrical energy storage optimization based on benefits and costs of participating in PDBR and IBDR programs

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102017114731A1 (en) * 2017-06-30 2019-01-03 Technische Universität Dortmund METHOD FOR REGULATING A MECHATRONIC SYSTEM, CONTROL UNIT FOR A MECHATRONIC SYSTEM AND MECHATRONIC SYSTEM

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4698763A (en) * 1985-03-15 1987-10-06 Eaton Corporation Automatic mechanical transmission control
DE3929615A1 (en) 1989-09-06 1991-03-07 Siemens Ag ADAPTIVE CONTROLLER
FR2689260A1 (en) 1992-03-24 1993-10-01 Num Sa Self-tuning of predictive controller used in automatic controller - uses simulation of controller to train fuzzy logic expert system to set parameters of adaptive controller
US5812396A (en) * 1995-03-02 1998-09-22 Canon Kabushiki Kaisha Synchronous positioning control apparatus and control method thereof
US5974906A (en) * 1998-04-01 1999-11-02 Eaton Corporation Jaw clutch engagement control for assisted, manually shifted, splitter-type transmission system
US6296081B1 (en) * 1998-04-10 2001-10-02 Kabushiki Kaisha Toyoda Jidoshokki Seisakusho Lift cylinder and mast assembly of forklift
DE10129141A1 (en) 2001-06-16 2002-12-19 Abb Research Ltd Control and regulating methods and regulating device for starting or stopping a procedural component of a technical process
US20030000924A1 (en) 2001-06-29 2003-01-02 Tokyo Electron Limited Apparatus and method of gas injection sequencing
DE10341574A1 (en) 2002-09-11 2004-08-12 Fisher-Rosemount Systems, Inc., Austin Configuration and viewing display for an integrated predictive model control and optimization function block
GB2402499A (en) 2003-06-05 2004-12-08 Fisher Rosemount Systems Inc Multiple-input/multiple-output control blocks with predictive capabilities
US6877493B2 (en) * 2002-08-15 2005-04-12 Nissan Motor Co., Ltd. Variable operation intake valve controlling apparatus and method for internal combustion engine
US20090030605A1 (en) * 1997-10-22 2009-01-29 Intelligent Technologies International, Inc. Positioning System

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2575345B1 (en) * 1984-12-26 1987-03-20 Cibie Projecteurs METHOD AND DEVICE FOR CONTROLLING A DIRECT CURRENT MOTOR FOR POSITION CONTROLLING, LINEAR DISPLACEMENT CONTROL SYSTEM ACCORDING TO THE METHOD

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4698763A (en) * 1985-03-15 1987-10-06 Eaton Corporation Automatic mechanical transmission control
DE3929615A1 (en) 1989-09-06 1991-03-07 Siemens Ag ADAPTIVE CONTROLLER
FR2689260A1 (en) 1992-03-24 1993-10-01 Num Sa Self-tuning of predictive controller used in automatic controller - uses simulation of controller to train fuzzy logic expert system to set parameters of adaptive controller
US5812396A (en) * 1995-03-02 1998-09-22 Canon Kabushiki Kaisha Synchronous positioning control apparatus and control method thereof
US20090030605A1 (en) * 1997-10-22 2009-01-29 Intelligent Technologies International, Inc. Positioning System
US5974906A (en) * 1998-04-01 1999-11-02 Eaton Corporation Jaw clutch engagement control for assisted, manually shifted, splitter-type transmission system
US6296081B1 (en) * 1998-04-10 2001-10-02 Kabushiki Kaisha Toyoda Jidoshokki Seisakusho Lift cylinder and mast assembly of forklift
DE10129141A1 (en) 2001-06-16 2002-12-19 Abb Research Ltd Control and regulating methods and regulating device for starting or stopping a procedural component of a technical process
US6917838B2 (en) 2001-06-16 2005-07-12 Abb Research Ltd. Open-loop and closed-loop control method, and a control device for starting up and shutting down a process component of a technical process
US20030000924A1 (en) 2001-06-29 2003-01-02 Tokyo Electron Limited Apparatus and method of gas injection sequencing
US6877493B2 (en) * 2002-08-15 2005-04-12 Nissan Motor Co., Ltd. Variable operation intake valve controlling apparatus and method for internal combustion engine
DE10341574A1 (en) 2002-09-11 2004-08-12 Fisher-Rosemount Systems, Inc., Austin Configuration and viewing display for an integrated predictive model control and optimization function block
GB2402499A (en) 2003-06-05 2004-12-08 Fisher Rosemount Systems Inc Multiple-input/multiple-output control blocks with predictive capabilities
DE102004026979A1 (en) 2003-06-05 2005-02-17 Fisher-Rosemount Systems, Inc., Austin Multi-input / multiple output control blocks with non-linear predictive capabilities

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
D.Neumerkel, J. Franz, L.Krüger, A.Hidiroglu; Real-Time application of Neural Model Predictive Control for an Induction Servo Drive; Control Applications, 1994 / IEEE, Bd. 1, Aug. 24, 1994, S. 433-438, Internet: http://ieeexplore.ieee.org; Glasgow; IEEE; 1; Magazine; 1994.
R. Kennel, A. Lindner, M. Linke; Generalized Predictive Control (GPC)-Ready for Use in Drive Applications?; University of Wuppertal, DE; Power Electronics Specialists Conference, S. 1839-1844.; Vancouver, BC, Canada; IEEE; 4; XP002443652 .
Ralph Kennel, Arne Linder; "Prädiktive Regelung von umrichtergespeisten Antrieben umrichtergespeisten Antrieben, Ein Übersicht über die bisher bekannten Verfahren"; atp 44; 2002, pp. 46-51; Issue 11.

Cited By (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9235657B1 (en) 2013-03-13 2016-01-12 Johnson Controls Technology Company System identification and model development
US9436179B1 (en) 2013-03-13 2016-09-06 Johnson Controls Technology Company Systems and methods for energy cost optimization in a building system
US9852481B1 (en) 2013-03-13 2017-12-26 Johnson Controls Technology Company Systems and methods for cascaded model predictive control
US10007259B2 (en) 2013-03-13 2018-06-26 Johnson Controls Technology Company Systems and methods for energy cost optimization in a building system
US10088814B2 (en) 2013-03-13 2018-10-02 Johnson Controls Technology Company System identification and model development
US11086276B2 (en) 2013-03-13 2021-08-10 Johnson Controls Tyco IP Holdings LLP System identification and model development
US10580097B2 (en) 2013-03-13 2020-03-03 Johnson Controls Technology Company Systems and methods for cascaded model predictive control
US11774948B2 (en) 2014-05-01 2023-10-03 Johnson Controls Technology Company High level central plant optimization
US11803174B2 (en) 2014-05-01 2023-10-31 Johnson Controls Technology Company Building management system for forecasting time series values of building variables
US10175681B2 (en) 2014-05-01 2019-01-08 Johnson Controls Technology Company High level central plant optimization
US10101730B2 (en) 2014-05-01 2018-10-16 Johnson Controls Technology Company Incorporating a load change penalty in central plant optimization
US11275355B2 (en) 2014-05-01 2022-03-15 Johnson Controls Technology Company Incorporating a demand charge in central plant optimization
US10101731B2 (en) 2014-05-01 2018-10-16 Johnson Controls Technology Company Low level central plant optimization
US10386820B2 (en) 2014-05-01 2019-08-20 Johnson Controls Technology Company Incorporating a demand charge in central plant optimization
US10915094B2 (en) 2014-05-01 2021-02-09 Johnson Controls Technology Company High level central plant optimization
US11874638B2 (en) 2015-09-30 2024-01-16 Johnson Controls Tyco IP Holdings LLP Control system with coordinated equipment staging
US10190789B2 (en) 2015-09-30 2019-01-29 Johnson Controls Technology Company Central plant with coordinated HVAC equipment staging across multiple subplants
US11353834B2 (en) 2015-09-30 2022-06-07 Johnson Controls Tyco IP Holdings LLP Control system with coordinated equipment staging
US10928790B2 (en) 2015-09-30 2021-02-23 Johnson Controls Technology Company Control system with coordinated equipment staging
US10197632B2 (en) 2015-10-08 2019-02-05 Taurus Des, Llc Electrical energy storage system with battery power setpoint optimization using predicted values of a frequency regulation signal
US10389136B2 (en) 2015-10-08 2019-08-20 Con Edison Battery Storage, Llc Photovoltaic energy system with value function optimization
US10564610B2 (en) 2015-10-08 2020-02-18 Con Edison Battery Storage, Llc Photovoltaic energy system with preemptive ramp rate control
US10418833B2 (en) 2015-10-08 2019-09-17 Con Edison Battery Storage, Llc Electrical energy storage system with cascaded frequency response optimization
US10186889B2 (en) 2015-10-08 2019-01-22 Taurus Des, Llc Electrical energy storage system with variable state-of-charge frequency response optimization
US10591178B2 (en) 2015-10-08 2020-03-17 Con Edison Battery Storage, Llc Frequency response optimization based on a change in battery state-of-charge during a frequency response period
US10700541B2 (en) 2015-10-08 2020-06-30 Con Edison Battery Storage, Llc Power control system with battery power setpoint optimization using one-step-ahead prediction
US10742055B2 (en) 2015-10-08 2020-08-11 Con Edison Battery Storage, Llc Renewable energy system with simultaneous ramp rate control and frequency regulation
US10190793B2 (en) 2015-10-08 2019-01-29 Johnson Controls Technology Company Building management system with electrical energy storage optimization based on statistical estimates of IBDR event probabilities
US10222427B2 (en) 2015-10-08 2019-03-05 Con Edison Battery Storage, Llc Electrical energy storage system with battery power setpoint optimization based on battery degradation costs and expected frequency response revenue
US10222083B2 (en) 2015-10-08 2019-03-05 Johnson Controls Technology Company Building control systems with optimization of equipment life cycle economic value while participating in IBDR and PBDR programs
US10855081B2 (en) 2015-10-08 2020-12-01 Con Edison Battery Storage Llc Energy storage controller with battery life model
US10418832B2 (en) 2015-10-08 2019-09-17 Con Edison Battery Storage, Llc Electrical energy storage system with constant state-of charge frequency response optimization
US10554170B2 (en) 2015-10-08 2020-02-04 Con Edison Battery Storage, Llc Photovoltaic energy system with solar intensity prediction
US11009251B2 (en) 2015-10-08 2021-05-18 Con Edison Battery Storage, Llc Electrical energy storage system with variable state-of-charge frequency response optimization
US10283968B2 (en) 2015-10-08 2019-05-07 Con Edison Battery Storage, Llc Power control system with power setpoint adjustment based on POI power limits
US11296511B2 (en) 2015-10-08 2022-04-05 Con Edison Battery Storage, Llc Energy storage controller with battery life model
US11156380B2 (en) 2015-10-08 2021-10-26 Johnson Controls Technology Company Building control systems with optimization of equipment life cycle economic value while participating in IBDR and PBDR programs
US10250039B2 (en) 2015-10-08 2019-04-02 Con Edison Battery Storage, Llc Energy storage controller with battery life model
US11210617B2 (en) 2015-10-08 2021-12-28 Johnson Controls Technology Company Building management system with electrical energy storage optimization based on benefits and costs of participating in PDBR and IBDR programs
US11258287B2 (en) 2015-10-08 2022-02-22 Con Edison Battery Storage, Llc Using one-step ahead prediction to determine battery power setpoints
US11258260B2 (en) 2016-07-29 2022-02-22 Con Edison Battery Storage, Llc Battery optimization control system with data fusion systems and methods
US10778012B2 (en) 2016-07-29 2020-09-15 Con Edison Battery Storage, Llc Battery optimization control system with data fusion systems and methods
US10594153B2 (en) 2016-07-29 2020-03-17 Con Edison Battery Storage, Llc Frequency response optimization control system
US10838440B2 (en) 2017-11-28 2020-11-17 Johnson Controls Technology Company Multistage HVAC system with discrete device selection prioritization
US10838441B2 (en) 2017-11-28 2020-11-17 Johnson Controls Technology Company Multistage HVAC system with modulating device demand control
US11163271B2 (en) 2018-08-28 2021-11-02 Johnson Controls Technology Company Cloud based building energy optimization system with a dynamically trained load prediction model
US11159022B2 (en) 2018-08-28 2021-10-26 Johnson Controls Tyco IP Holdings LLP Building energy optimization system with a dynamically trained load prediction model

Also Published As

Publication number Publication date
JP5127824B2 (en) 2013-01-23
WO2007134893A1 (en) 2007-11-29
JP2009537880A (en) 2009-10-29
DE102006023458B4 (en) 2008-03-06
US20090143921A1 (en) 2009-06-04
DE102006023458A1 (en) 2007-11-22

Similar Documents

Publication Publication Date Title
US7945352B2 (en) Generalized predictive control (GPC) based position control method for an axle
CN106873506B (en) Correction device, control method for correction device, information processing program, and recording medium
CN100437396C (en) PID parameter adjustment device
US7085620B2 (en) Servo controller
Yang et al. Adaptive integral robust control of hydraulic systems with asymptotic tracking
US5057992A (en) Method and apparatus for controlling or processing operations of varying characteristics
EP3379349A1 (en) Control device, control program, and control system
CN101114166A (en) Contour outline control method for complicated track
CN101546172A (en) Method and apparatus for controlling system
CN102768527A (en) Detection of imminent control instability
US20090063058A1 (en) Inertia And Load Torque Estimating Method And Apparatus
JP2875023B2 (en) Regulator for especially non-linear time-varying processes
CN106773652A (en) A kind of PID systems and its parameter automatic adjusting method
CN107077104A (en) Control device
CN109388099B (en) Machining of workpieces with model-supported error compensation
CN109807183B (en) Steel plate thickness control method and device
CN110107416A (en) Air conditioner load pre-control method
JPH0822306A (en) Automatic adjusting device for arithmetic control parameter
CN110538881B (en) Hot continuous rolling thickness control method based on improved internal mold controller
EP2277086A1 (en) Method and system for a bumpless pid controller switch
CN109084994B (en) Running resistance control method, device and system for vehicle bench test
JP2003005802A5 (en)
US6847851B1 (en) Apparatus for improved general-purpose PID and non-PID controllers
RU2701407C2 (en) Improved system state controller, controlled by command
RU2616219C1 (en) Self-adjusting automatic control system

Legal Events

Date Code Title Description
AS Assignment

Owner name: SIEMENS AKTIENGESELLSCHAFT, GERMANY

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KOC, HAKAN;REEL/FRAME:021877/0143

Effective date: 20080818

STCF Information on status: patent grant

Free format text: PATENTED CASE

FPAY Fee payment

Year of fee payment: 4

FEPP Fee payment procedure

Free format text: MAINTENANCE FEE REMINDER MAILED (ORIGINAL EVENT CODE: REM.); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

LAPS Lapse for failure to pay maintenance fees

Free format text: PATENT EXPIRED FOR FAILURE TO PAY MAINTENANCE FEES (ORIGINAL EVENT CODE: EXP.); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

STCH Information on status: patent discontinuation

Free format text: PATENT EXPIRED DUE TO NONPAYMENT OF MAINTENANCE FEES UNDER 37 CFR 1.362

FP Lapsed due to failure to pay maintenance fee

Effective date: 20190517